Job Description
About the Role
Be a core contributor to clinical grade deep learning products
Architect key components of the deep learning platform
Train robust and interpretable deep learning models for impactful medical tasks
Design purpose built datasets alongside medical oncologists to tackle clinically relevant questions
Build full stack deep learning solutions from research to deployment
Requirements
MS/PhD in Computer Science, Electrical Engineering, Bioinformatics, Statistics, Biomedical Data Science
1-2 first author research papers at top conferences or journals
Pear is an early-stage venture fund founded by Pejman Nozad and Mar Hershenson. Their co-founding managers have historically seeded very early stage tech start-ups such as Doordash, Guardant Health, Gusto, Viz.ai, Dropbox, Lending Club, Vanta, Zoosk, Addepar, Path and many others. Their motto is simple: they invest in exceptional founders who are building amazing companies. They utilize every resource they have to assist their founders and entrepreneurs shape the future.